Mahmood Deypir

According to our database, Mahmood Deypir authored at least 15 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Using optimized statistical distances to confront distributed denial of service attacks in software defined networks.

Mozhgan Ghasabi, Mahmood Deypir

Intell. Data Anal., 2021

2020

Adaptive windows multiple deep residual networks for speech recognition.

Toktam Zoughi, Mohammad Mehdi Homayounpour, Mahmood Deypir

Expert Syst. Appl., 2020

2019

Entropy-based security risk measurement for Android mobile applications.

Mahmood Deypir

Soft Comput., 2019

2018

Instance based security risk value estimation for Android applications.

Mahmood Deypir, Abbas Horri

J. Inf. Secur. Appl., 2018

2016

A new approach for effective malware detection in Android-based devices.

Mahmood Deypir

Proceedings of the 13th International Iranian Society of Cryptology Conference on Information Security and Cryptology, 2016

2013

A sliding window based algorithm for frequent closed itemset mining over data streams.

Fatemeh Nori, Mahmood Deypir, Mohammad Hadi Sadreddini

J. Syst. Softw., 2013

An Efficient Sliding Window Based Algorithm for Adaptive Frequent Itemset Mining over Data Streams.

Mahmood Deypir, Mohammad Hadi Sadreddini, Mehran Tarahomi

J. Inf. Sci. Eng., 2013

2012

Ensemble based multi-linear discriminant analysis with boosting and nearest neighbor.

Mahmood Deypir, Reza Boostani, Toktam Zoughi

Sci. Iran., 2012

A dynamic layout of sliding window for frequent itemset mining over data streams.

Mahmood Deypir, Mohammad Hadi Sadreddini

J. Syst. Softw., 2012

A wavelet-based estimating depth of anesthesia.

Toktam Zoughi, Reza Boostani, Mahmood Deypir

Eng. Appl. Artif. Intell., 2012

An Efficient Frequent Itemset Mining Method over High-speed Data Streams.

Mina Memar, Mahmood Deypir, Mohammad Hadi Sadreddini, Seyed Mostafa Fakhrahmad

Comput. J., 2012

Towards a variable size sliding window model for frequent itemset mining over data streams.

Mahmood Deypir, Mohammad Hadi Sadreddini, Sattar Hashemi

Comput. Ind. Eng., 2012

2011

EclatDS: An efficient sliding window based frequent pattern mining method for data streams.

Mahmood Deypir, Mohammad Hadi Sadreddini

Intell. Data Anal., 2011

Boosting a multi-linear classifier with application to visual lip reading.

Mahmood Deypir, Somayeh Alizadeh, Toktam Zoughi, Reza Boostani

Expert Syst. Appl., 2011

A block-based approach for frequent itemset mining over data streams.

Mina Memar, Mohammad Hadi Sadreddini, Mahmood Deypir, Seyed Mostafa Fakhrahmad

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011